METHOD AND APPARATUS FOR SELECTIVE TRANSPORT USING MACHINE LEARNING IN MULTI-RADIO ENVIRONMENTS

摘要

Disclosed are a method and an apparatus for selecting a modulation and coding scheme (MCS) class and a different system in consideration of power consumption of a system using machine learning in a multi-radio environment. According to an embodiment of the present invention, training data to select parameters maximizing energy efficiency is generated and feature values of the training data are determined. After that, an MCS class maximizing energy efficiency is mapped to power by comparing and analyzing the training data and features through a simulation, a radio satisfying a PER condition in a low MCS class of mapped MCS classes is selected, and data is transmitted through the selected radio.